LatticeFlow AI vs ModelOp
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified recently.
https://aicompliancevendors.com/compare/latticeflow-ai-vs-modelopLatticeFlow AI
A single platform to discover, evaluate and govern risk to secure your AI future.
LatticeFlow AI is a Swiss deep-tech company headquartered in Zurich, spun out of ETH Zurich in 2020, that provides a platform for AI security and governance centered on deep technical evaluations. The company co-created COMPL-AI, the first open-source evaluation framework mapping EU AI Act requirements to concrete technical controls for generative AI, in partnership with ETH Zurich and INSAIT. This positions LatticeFlow AI as a primary reference for EU AI Act compliance-centered AI assessments. The platform covers agentic AI risk assessment, foundation model risk screening, automated AI security red-teaming, and continuous AI governance operations. It is listed in the 2025 Gartner Market Guide for AI Governance Platforms and the 2025 Gartner Market Guide for AI TRiSM. Customers include global wealth management institutions, Axpo (energy), defense organizations, and Swiss Federal Railways.
ModelOp
Enterprise AI lifecycle management and governance platform
ModelOp provides a centralized platform for managing the full AI lifecycle, from intake to retirement, for ML, GenAI, Agentic AI, and vendor models. It offers a single system of record for AI inventory, automates policy enforcement and workflows, enables continuous monitoring for risks like bias and drift, and generates audit-ready reports. Targeted at complex regulated enterprises, it integrates with existing systems to accelerate AI deployment while ensuring compliance and control across teams. Distinct from MLOps tools or GRC systems, ModelOp orchestrates governance end-to-end, supporting internal and third-party AI at scale.
What the data shows
We haven't published an editorial verdict on this pair yet. The comparison below is built from public vendor materials and our taxonomy — no editorialized ranking.
- Shared framework coverage: EU AI Act, ISO/IEC 42001, NIST AI RMF
- Shared capabilities: 7 of 9 listed.
Want our editorial take? Email the editors or read our methodology.
At a glance
| Attribute | LatticeFlow AI | ModelOp |
|---|---|---|
| Founded | 2020 | 2018 |
| Headquarters | Zurich, Switzerland | Chicago, United States |
| Employees | 11-50 | 11-50 |
| Funding | Series A, $12M raised (October 2022), led by Atlantic Bridge and OpenOcean with participation from FPV Ventures. Prior seed of $2.8M (January 2021). | Series B, $10M, 2024, led by Baird Capital |
| Pricing | No public pricing. Enterprise platform sold via direct sales. Contact sales for demo and pricing. | No public pricing listed; contact sales for enterprise quotes. |
| Website | Visit site | Visit site |
Framework coverage
| Framework | LatticeFlow AI | ModelOp |
|---|---|---|
| EU AI Act | Full | Full |
| ISO/IEC 42001 | Full | Full |
| NIST AI RMF | Full | Full |
Capabilities
| Capability | LatticeFlow AI | ModelOp |
|---|---|---|
| AI Model Inventory | ✓ | ✓ |
| Audit Evidence Collection | ✓ | ✓ |
| Bias & Fairness Testing | ✓ | ✓ |
| Explainability | ✓ | ✓ |
| LLM Red Teaming | ✓ | — |
| Model Monitoring | ✓ | ✓ |
| Policy Management | ✓ | ✓ |
| Regulatory Intelligence | ✓ | — |
| Risk Assessment Workflow | ✓ | ✓ |
Industries served
LatticeFlow AI
- Financial Services
- Defense & National Security
- SaaS & Technology
ModelOp
- Financial Services
- Healthcare
- Insurance
- Government & Public Sector
- Retail & E-commerce
- Defense & National Security
Integrations
LatticeFlow AI
- OpenAI API
- GitHub
ModelOp
- AWS SageMaker
- Azure ML
- Google Vertex AI
- Databricks
- Snowflake
- MLflow
- Jira
- ServiceNow
- OpenAI API
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Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.